IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 421  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:00
Tokushima Naruto University of Education Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks
Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] NLP2023-85 MICT2023-40 MBE2023-31
pp.12-15
OCS, CS
(Joint)
2024-01-12
13:55
Kagoshima   Performance evaluation of BCH code and Polar codes in body area network
Shuhei Yamaguchi, Takahiko Nakamura, Hideo Yoshida, Soichiro Kametani (MELCO) CS2023-103
Polar codes are error correcting codes proposed by Arikan, and various decoding schemes have been proposed to achieve ex... [more] CS2023-103
pp.43-48
QIT
(2nd)
2023-12-17
17:30
Okinawa OIST
(Primary: On-site, Secondary: Online)
[Poster Presentation] Analyze convergence of Quantum-Neural -Networks in the over-parametrized regime
Kaito Tanaka (Keio Univ.), Naoki Yamamoto (KQCC)
Quantum neural networks (QNN) are one of the quantum-classical hybrid algorithms, which can be realized with the current... [more]
MRIS, ITE-MMS 2023-12-08
09:30
Ehime Ehime Univ. (CITE)
(Primary: On-site, Secondary: Online)
Performance evaluation of SP decoding considering the influence of recording pattern using neural network
Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (Niigata Ins. of Tec.), Yoshihiro Okamoto (Ehime Univ.) MRIS2023-27
We study an LDPC (low-density parity-check) encoding and iterative decoding method which combines LDPC codes and SP (sum... [more] MRIS2023-27
pp.30-35
PN 2023-11-16
11:25
Ehime
(Primary: On-site, Secondary: Online)
A Link Load Balancing Method in Elastic Optical Networks Using Superposition Coding
Shota Okochi, Ken-ichi Baba (Kogakuin Univ.) PN2023-39
In the field of optical backbone networks, elastic optical network (EON) has been attracting attention as a new techniqu... [more] PN2023-39
pp.15-20
RCS, SAT
(Joint)
2023-08-31
16:20
Nagano Naganoken Nokyo Building, and online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Comparative study of channel coding methods for performance improvement in next-generation optical satellite data relay system
Eiji Okamoto, Yuma Yamashita (NITech), Yohei Satoh, Mitsuhiro Nakadai, Takamasa Itahashi, Shiro Yamakawa (JAXA) SAT2023-42
Optical satellite data relay systems which send high-capacity data observed by low-orbit user satellites to geostationar... [more] SAT2023-42
pp.41-45
OFT, OCS, LSJ
(Joint) [detail]
2023-08-24
15:25
Hokkaido  
(Primary: On-site, Secondary: Online)
[Invited Talk] Studies of Parallel Implementation and Use Case Demonstration for Softwarization of Optical Access Networks
Takahiro Suzuki, Sang-Yuep Kim, Jun-ichi Kani, Tomoaki Yoshida (NTT) OCS2023-22
By applying software-defined network (SDN) and network function virtualization (NFV) to optical access networks, study i... [more] OCS2023-22
pp.15-20
SCE 2023-08-08
11:25
Kanagawa Yokohama National Univ.
(Primary: On-site, Secondary: Online)
Low-Cost Sorting Network Circuits Based on Temporal Logic Using Single Flux Quantum Circuits
Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (YNU) SCE2023-5
Sorting is important in various applications such as image processing and switching systems. Hardware cost and power con... [more] SCE2023-5
pp.22-27
RECONF 2023-08-04
14:55
Hokkaido Hakodate Arena
(Primary: On-site, Secondary: Online)
An Elastic FPGA-based Accelerator for Bayesian Network Structure Learning
Ryota Miyagi (The Univ. of Tokyo), Ryota Yasudo (Kyoto Univ.), Kentaro Sano (RIKEN), Hideki Takase (The Univ. of Tokyo) RECONF2023-15
A Bayesian network is a powerful model for representing knowledge involving uncertainty within discrete random variables... [more] RECONF2023-15
pp.7-12
QIT
(2nd)
2023-05-30
16:05
Kyoto Katsura Campus, Kyoto University Quantum channel encoding and its applications
Yusuke Ogata (TokyoTech), Ryuhei Mori (Nagoya Univ.)
In this study, we consider a general framework for encoding an unknown quantum channel into a quantum state by oracle ac... [more]
RCS, IN, NV
(Joint)
2023-05-25
16:50
Kanagawa Keio University (Hiyoshi Campus), and online
(Primary: On-site, Secondary: Online)
[Invited Talk] Meta-networking: Overcoming the Shannon Limit by Empowering Information Density with Multi-faceted Awareness
Celimuge Wu (UEC) IN2023-11 RCS2023-22
This talk introduces Meta-networking: a paradigm shift to the "Networking and Telecommunications" field. Meta-networking... [more] IN2023-11 RCS2023-22
p.48(IN), p.36(RCS)
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding
Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IMQ2022-56 IE2022-133 MVE2022-86
pp.178-181
RCC, ISEC, IT, WBS 2023-03-14
13:00
Yamaguchi
(Primary: On-site, Secondary: Online)
Exponential Strong Converse for Source Coding with Encoded Side Information -- Comparison with Source Coding with Non-encoded Side Information --
Daisuke Takeuchi, Shun Watanabe (TUAT) IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97
The source coding problem with encoded side information is considered. A lower bound on the strong converse exponent has... [more] IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97
pp.209-211
RCC, ISEC, IT, WBS 2023-03-14
15:45
Yamaguchi
(Primary: On-site, Secondary: Online)
Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding
Yusaku Yamada, Jun Suzuki (UEC) IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103
In this work, we study the problem of supervised label classification using quantum neural network (QNN). We propose a m... [more] IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103
pp.242-247
SIS 2023-03-02
14:40
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
QR code image dnoising netwroks based on decodability assessment
Kazumitsu Takahashi, Makoto Nakashizuka (CIT) SIS2022-46
In this paper, an image denoising method for QR code images is proposed. The image recovery from the degraded QR code im... [more] SIS2022-46
pp.33-36
RCS, SR, SRW
(Joint)
2023-03-01
16:05
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal
Taishi Watanabe, Takeo Ohseki, Yoshiaki Amano (KDDI Research, Inc.) RCS2022-262
A virtualised terminal consisting of a normal user terminal and multiple RF relay devices that perform frequency
conver... [more]
RCS2022-262
pp.88-93
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
A Study on Scheduled Sampling for Neural Transducer-based ASR
Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT) EA2022-100 SIP2022-144 SP2022-64
In this paper, we propose scheduled sampling approaches suited for the recurrent neural network-transducer (RNNT) that i... [more] EA2022-100 SIP2022-144 SP2022-64
pp.147-152
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
15:30
Hokkaido Hokkaido Univ. A Study on Adaptation Methods for Universal Deep Image Compression
Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] ITS2022-56 IE2022-73
pp.77-82
IE 2023-02-02
15:30
Tokyo NII
(Primary: On-site, Secondary: Online)
[Invited Talk] How Can We Compress Signs of DCT Coefficients in Image Coding? -- A Method Inspired by Phase Retrieval --
Chihiro Tsutake (Nagoya Univ.) IE2022-55
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IE2022-55
p.19
IT, RCS, SIP 2023-01-25
10:25
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
A Fundamental Study on Decoding Short Length Polar Codes by Deep Learning
Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) IT2022-52 SIP2022-103 RCS2022-231
LDPC codes, Turbo codes, and polar codes are currently known
as the best channel codes achieving near Shannon limit.... [more]
IT2022-52 SIP2022-103 RCS2022-231
pp.132-135
 Results 1 - 20 of 421  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan